Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement.
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| Title: | Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement. |
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| Authors: | Shestyuk, Avgusta Y.1,2 avgusta.shestyuk@nielsen.com, Kasinathan, Karthik1, Karapoondinott, Viswajith1, Knight, Robert T.2,3, Gurumoorthy, Ram1 |
| Source: | PLoS ONE. 3/28/2019, Vol. 14 Issue 3, p1-27. 27p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 135588418 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pone.0214507 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 27 StartPage: 1 Titles: – TitleFull: Individual EEG measures of attention, memory, and motivation predict population level TV viewership and Twitter engagement. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Shestyuk, Avgusta Y. – PersonEntity: Name: NameFull: Kasinathan, Karthik – PersonEntity: Name: NameFull: Karapoondinott, Viswajith – PersonEntity: Name: NameFull: Knight, Robert T. – PersonEntity: Name: NameFull: Gurumoorthy, Ram IsPartOfRelationships: – BibEntity: Dates: – D: 28 M: 03 Text: 3/28/2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 19326203 Numbering: – Type: volume Value: 14 – Type: issue Value: 3 Titles: – TitleFull: PLoS ONE Type: main |
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